A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid

Author:

Bitirgen KübraORCID,Filik Ümmühan Başaran

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modeling and Simulation

Reference48 articles.

1. New Electric Transmission Systems: Experiences from Turkey;Başaran Filik,2015

2. A comprehensive study on modeling of photovoltaic arrays and calculation of photovoltaic potential using digital elevation model;Bitirgen;Energy Sources A: Recovery Util. Environ. Eff.,2021

3. A multi-objective home energy management system for explicit cost-comfort analysis considering appliance category-based discomfort models and demand response programs;Alıç;Energy Build.,2021

4. Subset level detection of false data injection attacks in smart grids;Binna,2018

5. Demand response as a market resource under the smart grid paradigm;Rahimi;IEEE Trans. Smart Grid,2010

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